Instructions to use 123abhiALFLKFO/roberta-base-yelp-polarity-finetuned-sst2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 123abhiALFLKFO/roberta-base-yelp-polarity-finetuned-sst2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="123abhiALFLKFO/roberta-base-yelp-polarity-finetuned-sst2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("123abhiALFLKFO/roberta-base-yelp-polarity-finetuned-sst2") model = AutoModelForSequenceClassification.from_pretrained("123abhiALFLKFO/roberta-base-yelp-polarity-finetuned-sst2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3d3b3d73a6114548d202eb510746a07f905754a7c019760d7506c1af61f44a2d
- Size of remote file:
- 46.8 MB
- SHA256:
- 11c3a2da385d1ac110bc8852877ea10b968b450abed385d40b7771cc65777c4d
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